
Exploring Data Science with R and the Tidyverse
Description
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Upon completion of the text, the reader will be able to:
Gain proficiency in R programming
Load and manipulate data frames, and "tidy" them using tidyverse tools
Conduct statistical analyses and draw meaningful inferences from them
Perform modeling from numerical and textual data
Generate data visualizations (numerical and spatial) using ggplot2 and understand what is being represented
An accompanying R package "edsdata" contains synthetic and real datasets used by the textbook and is meant to be used for further practice. An exercise set is made available and designed for compatibility with automated grading tools for instructor use.
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Persons
Mitsunori Ogihara is a Professor of Computer Science at the University of Miami, Coral Gables, Florida, USA, and is the Director of its Master of Science in Data Science program. He received his Ph.D. in Information Sciences from Tokyo Institute of Technology, Tokyo, Japan. He is an author/co-author/co-editor of four books and has published more than 200 peer-reviewed journals and conference papers. He serves on the editorial board for a few academic journals, including Theory of Computing Systems, Springer, for which he is the Editor-in-Chief.
Content
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